{"title":"利用权衡优化方法解决计算机视觉中的刚性问题","authors":"Chengzhi Huang, Yanda Li, Tong Chang","doi":"10.1109/ICPR.1988.28195","DOIUrl":null,"url":null,"abstract":"The effect of stiffness in a general solution of the linear inverse problem is discussed, and a method is proposed to deal with this problem. It uses tradeoff by tradeoff optimization between the resolution and variance of solution to keep them both small, by applying a group of optimal weights on the singular values of the operator. The reliability of the estimated motion parameters is improved significantly.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solving the stiff problem in computer vision by trade-off optimization\",\"authors\":\"Chengzhi Huang, Yanda Li, Tong Chang\",\"doi\":\"10.1109/ICPR.1988.28195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effect of stiffness in a general solution of the linear inverse problem is discussed, and a method is proposed to deal with this problem. It uses tradeoff by tradeoff optimization between the resolution and variance of solution to keep them both small, by applying a group of optimal weights on the singular values of the operator. The reliability of the estimated motion parameters is improved significantly.<<ETX>>\",\"PeriodicalId\":314236,\"journal\":{\"name\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1988.28195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solving the stiff problem in computer vision by trade-off optimization
The effect of stiffness in a general solution of the linear inverse problem is discussed, and a method is proposed to deal with this problem. It uses tradeoff by tradeoff optimization between the resolution and variance of solution to keep them both small, by applying a group of optimal weights on the singular values of the operator. The reliability of the estimated motion parameters is improved significantly.<>